Trans-biobank analysis with 676,000 individuals elucidates the association of polygenic risk scores of complex traits with human lifespan

Nat Med. 2020 Apr;26(4):542-548. doi: 10.1038/s41591-020-0785-8. Epub 2020 Mar 23.

Abstract

While polygenic risk scores (PRSs) are poised to be translated into clinical practice through prediction of inborn health risks1, a strategy to utilize genetics to prioritize modifiable risk factors driving heath outcome is warranted2. To this end, we investigated the association of the genetic susceptibility to complex traits with human lifespan in collaboration with three worldwide biobanks (ntotal = 675,898; BioBank Japan (n = 179,066), UK Biobank (n = 361,194) and FinnGen (n = 135,638)). In contrast to observational studies, in which discerning the cause-and-effect can be difficult, PRSs could help to identify the driver biomarkers affecting human lifespan. A high systolic blood pressure PRS was trans-ethnically associated with a shorter lifespan (hazard ratio = 1.03[1.02-1.04], Pmeta = 3.9 × 10-13) and parental lifespan (hazard ratio = 1.06[1.06-1.07], P = 2.0 × 10-86). The obesity PRS showed distinct effects on lifespan in Japanese and European individuals (Pheterogeneity = 9.5 × 10-8 for BMI). The causal effect of blood pressure and obesity on lifespan was further supported by Mendelian randomization studies. Beyond genotype-phenotype associations, our trans-biobank study offers a new value of PRSs in prioritization of risk factors that could be potential targets of medical treatment to improve population health.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Biological Specimen Banks / statistics & numerical data*
  • Diabetes Mellitus, Type 2 / genetics
  • Diabetes Mellitus, Type 2 / mortality
  • Female
  • Finland / epidemiology
  • Genetic Markers* / genetics
  • Genetic Predisposition to Disease / epidemiology
  • Genome-Wide Association Study / methods*
  • Genome-Wide Association Study / statistics & numerical data
  • Humans
  • Hypertension / genetics
  • Hypertension / mortality
  • Japan / epidemiology
  • Longevity / genetics*
  • Male
  • Middle Aged
  • Multifactorial Inheritance / genetics*
  • Obesity / genetics
  • Obesity / mortality
  • Polymorphism, Single Nucleotide
  • Risk Factors
  • United Kingdom / epidemiology

Substances

  • Genetic Markers